Currently, our Graph Schema defaults to a simple template. However, new users are often unfamiliar with graphs, making schema construction challenging. We can simplify this process (semi-automatically ...

Article citations More>> Kipf, T.N. and Welling, M. (2016) Semi-Supervised Classification with Graph Convolutional Networks. arXiv: 1609.02907. has been cited by the following article: TITLE: ...

Using a logarithmic chart to illustrate the trend from 2011, the model projects BTC price to hit $351,046 in 2025.

Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of two parts, i ...

“ NOTE: this is a semi-log graph, so a straight line is an exponential; each y-axis tick is 100x. This graph covers a 1,000,000,000,000,000,000,000x improvement in computation/$. Pause to let that ...

To address this issue, a superior-performing graph convolutional network (GCN) with self-augmented weights is proposed. The proposed self-augmented weight strategy is based on exponential series ...

Description of the bug: When specifying a relative path, like --experimental_execution_graph_log_path=graph.log, the resulting file (in this example, graph.log) ends up being created not in the pro ...

Researchers from Wuhan University China, JD Explore Academy China, The University of Melbourne, and Griffith University, Brisbane, proposed Gradformer, a novel method that innovatively integrates GTs ...